PRANAV

SOFTWARE ENGINEER Pranav Devane

Java Angular Spring Boot React

Building enterprise applications for Ford Motor Company at HCLTech, specializing in Java, Angular, application support, and scalable web solutions.

2+

Years Experience

230+

Websites

Ford

Enterprise Client


Java

Angular

React

SQL

About Me

Software Engineer

Software Engineer with experience in Java, Angular, Front-End Development and Application Support. Currently contributing to enterprise applications for Ford Motor Company through HCLTech.

Previously worked as a UI Developer, successfully delivering 230+ websites across multiple industries using modern web technologies.

Professional Highlights

  • 2+ Years of Experience
  • 230+ Websites Delivered
  • Ford Motor Company Project
  • Java & Angular Development
  • Application Support & RCA
TECH STACK

Technical Skills

Technologies and tools I use to build scalable applications.

Frontend

Angular
React
HTML5
CSS3
Bootstrap

Backend

Java
Spring Boot
Node.js
REST APIs

Database

SQL
MongoDB
MySQL

Tools

Git
GitHub
Postman
ServiceNow

Professional Experience

HCLTech – Ford Motor Company

Analyst | May 2025 - Present

Supporting enterprise Angular applications for Ford Motor Company, performing root cause analysis, production issue resolution, application monitoring, and backend enhancements using Java.

Scintillate Informatics

UI Developer | Jun 2024 - May 2025

Designed and delivered 230+ websites using HTML, CSS, JavaScript, Bootstrap, WordPress, and IONOS while ensuring responsive design and optimized user experience.

Featured Projects

Restaurant Management System

Restaurant Management System

Engineered a full-stack restaurant management solution using ReactJS, Node.js, and MySQL to streamline order processing, staff scheduling, and inventory management, improving operational efficiency.

ReactJS Node.js MySQL

Volume Control Using Hand Gestures

Built a real-time gesture recognition system using Python, OpenCV, MediaPipe, and Pycaw to enable touch-free volume control through an intuitive computer vision interface.

Python OpenCV MediaPipe

Secure Intra-Vehicle Communication

Designed a vehicle network security system using Python and Machine Learning based anomaly detection to identify cyber threats and improve communication reliability within vehicle networks.

Python Machine Learning

Voice-Based Encryption

Developed a secure data storage solution using Java, JDBC, and SQL with authentication and access control mechanisms to protect sensitive information.

Java JDBC SQL

Let's Connect

Have a project? Let's solve it together.